https://github.com/cran/flexmix
Tip revision: f69db4c482fe863903bd31200c02ea4a3736155d authored by Bettina Gruen on 07 June 2022, 15:40:02 UTC
version 2.3-18
version 2.3-18
Tip revision: f69db4c
ExNclus.Rd
%
% Copyright (C) 2004-2015 Friedrich Leisch and Bettina Gruen
% $Id: ExNclus.Rd 5008 2015-01-13 20:30:25Z gruen $
%
\name{ExNclus}
\alias{ExNclus}
\alias{Nclus}
\title{Artificial Example with 4 Gaussians}
\description{
A simple artificial example for normal clustering with 4 latent
classes, all of
them having a Gaussian distribution. See the function definition for
true means and covariances.
}
\usage{
ExNclus(n)
data("Nclus")
}
\arguments{
\item{n}{Number of observations in the two small latent classes.}
}
\details{
The \code{Nclus} data set can be re-created by \code{ExNclus(100)}
using \code{set.seed(2602)}, it has been saved as a data set for
simplicity of examples only.
}
\examples{
data("Nclus", package = "flexmix")
require("MASS")
eqscplot(Nclus, col = rep(1:4, c(100, 100, 150, 200)))
}
\keyword{datasets}